DataTV: Streaming Data Videos for Storytelling

October 15, 2022 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Zhenpeng Zhao, Niklas Elmqvist arXiv ID 2210.08175 Category cs.HC: Human-Computer Interaction Citations 5 Venue arXiv.org Last Checked 4 months ago
Abstract
Data videos -- motion graphics that incorporate visualizations -- have been recognized as an effective way to communicate ideas, but creating such video requires both time and expertise, precluding them from being created and streamed live. We introduce DataTV, a system for combining multiple media sources in real time. We validate our work through an expert review involving researchers using the DataTV prototype to create a one-minute data video for their current project. Results show that the new method facilitates rapid creation and enables users to focus on the narrative rather than mechanics of video production.
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